mindroom-aiReads credentialsllms.txtmindroom / references
mindroom-ai/mindroom/skills/mindroom-docs/references/llms-full.txt
# MindRoom > AI agents that know you and your work, in a chat app anyone
llms.txt examples
How real projects summarise themselves for language models.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
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mindroom-aiReads credentialsllms.txt
baseReads credentialsllms.txtdocs
base/docs/docs/llms-full.txt
# Base Documentation — Full Context > Full context for AI agents building on Base, the blockchain
claude-did-thisPipes a download into a shellllms.txtMCPControl
claude-did-this/MCPControl/docs/llms-full.txt
# Example Clients Source: https://modelcontextprotocol.io/clients A list of applications that support MCP integrations
bibinprathapllms.txtVeritasGraph
bibinprathap/VeritasGraph/llms-full.txt
State and catalog store: [studio_api/store.py](./studio_api/store.py) - Graph engine integration: [studio_api/graphrag_engine.py](./studio_api/graphrag_engine.py) ### Studio Frontend - Single-page UI: [demos/agent-studio/index.html](./demos/agent-studio/index.html) ### MCP Server (Model Context Protocol) - Zero-trust, air-gapped GraphRAG
HigangsshPipes a download into a shellllms.txthomebutler
Higangssh/homebutler/llms.txt
terminal dashboard for all configured servers - `serve`: embedded web dashboard with no separate frontend runtime - Docker management: list, restart, stop, logs, stats - App install: one-command self-hosted app deployment
OdyseeTeamReads credentialsllms.txtodysee-frontend
OdyseeTeam/odysee-frontend/llms.txt
source-verified technical map of Odysee web/mobile/TV integrations. Scope: - Main source of truth: `odysee-frontend`. - Supporting repos: `odysee-api`, `commentron`, `odysee-roku`, `odysee-ios`. - `Odysee Internal APIs` (private/internal repository): included
nirholasReads credentialsllms.txtthree.ws
nirholas/three.ws/llms-full.txt
# three.ws > Open-source platform for 3D AI agents. Turn text or a photo into
mattrobinsonsrePipes a download into a shellllms.txtterrapod
mattrobinsonsre/terrapod/llms.txt
single organization](docs/architecture.md#why-a-single-organization). - **BFF** — all traffic enters through the Next.js frontend, which proxies `/api/*` to the API; the browser never calls the API directly
kreuzberg-devReads credentialsllms.txtliter-llm
kreuzberg-dev/liter-llm/llms.txt
port = 4000 [auth] master_key = "${LITER_LLM_MASTER_KEY}" [[virtual_keys]] key = "sk-team-frontend" models = ["openai/*", "anthropic/*"] rpm = 60 budget = 50.0 [[providers]] name = "openai" api_key = "${OPENAI
FLOX-Foundationllms.txtflox
FLOX-Foundation/flox/docs/llms-full.txt
# lrvx — full documentation bundle lrvx is a C++23 high-performance trading framework with
nikolai-vysotskyiReads credentialsllms.txttrace-mcp
nikolai-vysotskyi/trace-mcp/docs/llms-full.txt
subproject is any working repository that is part of your project's ecosystem: microservices, frontends, backends, shared libraries, CLI tools, etc. A project auto-detects its subprojects on indexing
Big-Ponyllms.txtpocketshell / site
Big-Pony/pocketshell/site/llms.txt
task finishes, tap it and read the answer - [Live demo](https://demo.pocketshell.net): the real frontend running against a simulated agent — no install, no host, no signup. Best on a phone
kestra-iollms.txtdocs
kestra-io/docs/public/llms.txt
# Kestra > Kestra is an open-source workflow orchestration platform. Workflows are defined declaratively in
softsparkReads credentialsllms.txtai-toolkit
softspark/ai-toolkit/llms-full.txt
memory leak. - **persona**: Switches engineering persona at runtime. Triggers: persona, switch role, backend-lead, frontend-lead, devops-eng, junior-dev. - **php-rules**: PHP coding rules: style, patterns, security, testing. Triggers
Dynatracellms.txtdynatrace-for-ai
Dynatrace/dynatrace-for-ai/llms.txt
services: Service RED metrics, runtime telemetry (.NET, Java, Node.js, Python, PHP, Go). - dt-obs-frontends: RUM, Web Vitals, user sessions, mobile, frontend errors. - dt-obs-tracing: Distributed traces, spans, dependencies
magnus919Reads credentialsllms.txtagent-skills
magnus919/agent-skills/llms.txt
testing. Use for application/domain/infrastructure implementation decisions. Language and framework agnostic. Do not use for frontend, data engineering, platform provisioning, API contract ownership, service decomposition strategy, or cross-system migration planning
smnandrellms.txtsymfony-ux-skills
smnandre/symfony-ux-skills/llms.txt
Symfony UX Agent Skills > AI agent skills for the Symfony UX frontend stack: Stimulus, Turbo, TwigComponent, LiveComponent, Icons, and Map. Built on the agentskills.io open standard. Covers Symfony
exelearningReads credentialsllms.txtexelearning
exelearning/exelearning/llms-full.txt
# eXeLearning — Full Documentation Bundle > This is a single-file concatenation of the eXeLearning ELPX
exelearningllms.txtexelearning
exelearning/exelearning/llms.txt
backend runs on Bun + Elysia + Kysely with Yjs for real-time collaboration; > the frontend is vanilla JavaScript; desktop builds use Electron. This file indexes > the documentation most relevant for LLMs
lbednerReads credentialsllms.txtaegis-stack
lbedner/aegis-stack/llms.txt
need by selecting components during project creation: - **Core (always included)**: FastAPI backend + Flet frontend + CLI management - **Scheduler**: APScheduler for background tasks and cron jobs (available) - **Database**: PostgreSQL + SQLAlchemy + Alembic (coming
About llms.txt
What is llms.txt?
A markdown file at a website's root that gives language models a short guide to the site and links to the pages worth reading.
What's llms-full.txt?
The same idea with the content included, so an agent can read the documentation in one request.
Who reads it?
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
How do I write one?
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.